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Statistical Learning with Sparsity
The Lasso and Generalizations
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Focusing on the challenges posed by big data, this book explores how the sparsity assumption can help extract meaningful patterns from extensive datasets, even when the number of features exceeds observations. It delves into various techniques, including the lasso for linear regression, generalized penalties, and numerical optimization methods. Additionally, it covers statistical inference for lasso models, sparse multivariate analysis, graphical models, and compressed sensing, providing a comprehensive guide to modern data analysis techniques.
Buchkauf
Statistical Learning with Sparsity, Robert Tibshirani, Trevor Hastie, Martin Wainwright
- Sprache
- Erscheinungsdatum
- 2015
- Einband
- (Hardcover)
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- Titel
- Statistical Learning with Sparsity
- Untertitel
- The Lasso and Generalizations
- Sprache
- Englisch
- Autor*innen
- Robert Tibshirani, Trevor Hastie, Martin Wainwright
- Verlag
- Taylor & Francis Ltd
- Erscheinungsdatum
- 2015
- Einband
- Hardcover
- Seitenzahl
- 367
- ISBN13
- 9781498712163
- Reihe
- Schlagwörter
- Bewertung
- 4,25 von 5 Sternen
- Beschreibung
- Focusing on the challenges posed by big data, this book explores how the sparsity assumption can help extract meaningful patterns from extensive datasets, even when the number of features exceeds observations. It delves into various techniques, including the lasso for linear regression, generalized penalties, and numerical optimization methods. Additionally, it covers statistical inference for lasso models, sparse multivariate analysis, graphical models, and compressed sensing, providing a comprehensive guide to modern data analysis techniques.